Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study

Qi Zhao(Shandong University), Yuming Guo(Monash University), Tingting Ye(Monash University), Antonio Gasparrini(London School of Hygiene & Tropical Medicine), Shilu Tong(Shanghai Children's Medical Center), Ala Overcenco, Aleš Urban(Czech Academy of Sciences, Institute of Atmospheric Physics), Alexandra Schneider(Helmholtz Zentrum München), Alireza Entezari(Hakim Sabzevari University), Ana María Vicedo-Cabrera(University of Bern), Antonella Zanobetti(Harvard University), Antonis Analitis(National and Kapodistrian University of Athens), Ariana Zeka(Brunel University of London), Aurelio Tobı́as(Nagasaki University), Baltazar Nunes(Escola Nacional de Saúde Pública), Barrak Alahmad(Harvard University), Ben Armstrong(Royal Society of Tropical Medicine and Hygiene), Bertil Forsberg(Umeå University), Shih‐Chun Pan(National Health Research Institutes), Carmen Íñiguez(Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública), Caroline Ameling(National Institute for Public Health and the Environment), César De la Cruz Valencia(Instituto Nacional de Salud Pública), Christofer Åström(Umeå University), Danny Houthuijs(National Institute for Public Health and the Environment), Do Van Dung(University of Medicine and Pharmacy at Ho Chi Minh City), Dominic Royé(Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública), Ene Indermitte(University of Tartu), Éric Lavigne(University of Ottawa), Fatemeh Mayvaneh(Hakim Sabzevari University), Fiorella Acquaotta(University of Turin), Francesca de’Donato, Francesco Di Ruscio(Norwegian Institute of Public Health), Francesco Sera(University of Florence), Gabriel Carrasco‐Escobar(University of California San Diego), Haidong Kan(Fudan University), Hans Orru(University of Tartu), Ho Kim(Seoul National University), Iulian‐Horia Holobâcă(Babeș-Bolyai University), Jan Kyselý(Czech Academy of Sciences, Institute of Atmospheric Physics), Joana Madureira(Universidade do Porto), Joel Schwartz(Harvard University), Jouni J. K. Jaakkola(Finnish Meteorological Institute), Klea Katsouyanni(King's College London), Magali Hurtado‐Díaz(Instituto Nacional de Salud Pública), Martina S. Ragettli(Swiss Tropical and Public Health Institute), Masahiro Hashizume(The University of Tokyo), Mathilde Pascal(Santé Publique France), Micheline de Sousa Zanotti Stagliorio Coêlho(Universidade de São Paulo), Nicolás Valdés Ortega(Universidad de Los Andes, Chile), Niilo Ryti(University of Oulu), Noah Scovronick(Emory University), Paola Michelozzi, Patricia Matus Correa(Universidad de Los Andes, Chile), Patrick Goodman(Technological University Dublin), Paulo Hilário Nascimento Saldiva(Universidade de São Paulo), Rosana Abrutzky(Universidad de Buenos Aires), Samuel Osorio(Universidade de São Paulo), Shilpa Rao(Norwegian Institute of Public Health), Simona Fratianni(University of Turin), Trần Ngọc Đăng(University of Medicine and Pharmacy at Ho Chi Minh City), Valentina Colistro(Universidad de la República de Uruguay), Veronika Huber(Universidad Pablo de Olavide), Whanhee Lee(Yale University), Xerxes Seposo(Nagasaki University), Yasushi Honda(University of Tsukuba), Yue Leon Guo(National Health Research Institutes), Michelle L. Bell(Yale University), Shanshan Li(Monash University)
The Lancet Planetary Health
July 1, 2021
Cited by 902Open Access
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Abstract

BACKGROUND: Exposure to cold or hot temperatures is associated with premature deaths. We aimed to evaluate the global, regional, and national mortality burden associated with non-optimal ambient temperatures. METHODS: In this modelling study, we collected time-series data on mortality and ambient temperatures from 750 locations in 43 countries and five meta-predictors at a grid size of 0·5° × 0·5° across the globe. A three-stage analysis strategy was used. First, the temperature-mortality association was fitted for each location by use of a time-series regression. Second, a multivariate meta-regression model was built between location-specific estimates and meta-predictors. Finally, the grid-specific temperature-mortality association between 2000 and 2019 was predicted by use of the fitted meta-regression and the grid-specific meta-predictors. Excess deaths due to non-optimal temperatures, the ratio between annual excess deaths and all deaths of a year (the excess death ratio), and the death rate per 100 000 residents were then calculated for each grid across the world. Grids were divided according to regional groupings of the UN Statistics Division. FINDINGS: Globally, 5 083 173 deaths (95% empirical CI [eCI] 4 087 967-5 965 520) were associated with non-optimal temperatures per year, accounting for 9·43% (95% eCI 7·58-11·07) of all deaths (8·52% [6·19-10·47] were cold-related and 0·91% [0·56-1·36] were heat-related). There were 74 temperature-related excess deaths per 100 000 residents (95% eCI 60-87). The mortality burden varied geographically. Of all excess deaths, 2 617 322 (51·49%) occurred in Asia. Eastern Europe had the highest heat-related excess death rate and Sub-Saharan Africa had the highest cold-related excess death rate. From 2000-03 to 2016-19, the global cold-related excess death ratio changed by -0·51 percentage points (95% eCI -0·61 to -0·42) and the global heat-related excess death ratio increased by 0·21 percentage points (0·13-0·31), leading to a net reduction in the overall ratio. The largest decline in overall excess death ratio occurred in South-eastern Asia, whereas excess death ratio fluctuated in Southern Asia and Europe. INTERPRETATION: Non-optimal temperatures are associated with a substantial mortality burden, which varies spatiotemporally. Our findings will benefit international, national, and local communities in developing preparedness and prevention strategies to reduce weather-related impacts immediately and under climate change scenarios. FUNDING: Australian Research Council and the Australian National Health and Medical Research Council.


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